What is Opsmatic Analytics?
Opsmatic Analytics provides comprehensive monitoring and insights for your automation workflows across n8n and Make.com platforms. Get real-time performance metrics, historical trends, and actionable insights to optimize your automation efficiency.
Key Analytics Features
Workflow Performance
Track execution success rates, duration, and performance trends across all your workflows
Platform Availability
Monitor uptime, response times, and connection health for your automation platforms
Real-time Monitoring
Get instant notifications and live feeds of workflow executions and system status
Historical Analysis
Analyze performance trends over time with customizable date ranges and aggregation periods
Analytics Dashboard
Main Dashboard Components
Overview Cards
Overview Cards
Key Metrics at a Glance:
- Total executions (daily/weekly/monthly)
- Overall success rate percentage
- Average execution duration
- Platform availability percentage
- Up/down arrows showing performance changes
- Color-coded status indicators
- Percentage change from previous period
Performance Charts
Performance Charts
Execution Timeline:
- Real-time execution activity
- Success vs failure visualization
- Peak usage period identification
- Platform response time trends
- Latency analysis over time
- Performance comparison across platforms
Activity Feeds
Activity Feeds
Recent Executions:
- Live feed of workflow runs
- Status, duration, and error details
- Platform and workflow identification
- Connection status changes
- Platform maintenance notifications
- Performance alerts and warnings
Customizable Time Periods
Analyze data across different timeframes:Best for:
- Real-time monitoring
- Daily operations review
- Immediate issue identification
- Hourly execution counts
- Minute-level response times
- Real-time availability status
Types of Analytics Data
Execution Analytics
Performance Metrics
Performance Metrics
Success Rate:
- Percentage of successful executions
- Failure rate trends
- Error categorization
- Average execution time
- Duration distribution
- Performance optimization opportunities
- Executions per hour/day
- Peak usage periods
- Capacity utilization
Error Analysis
Error Analysis
Error Types:
- Connection failures
- Workflow logic errors
- Timeout issues
- Platform-specific errors
- Error frequency over time
- Most common error patterns
- Recovery time analysis
Resource Usage
Resource Usage
n8n Metrics:
- Node execution counts
- Data processing volume
- Memory and CPU utilization
- Operations consumption
- Module execution statistics
- Data transfer volumes
Platform Health Analytics
Availability Monitoring
Availability Monitoring
Uptime Tracking:
- Platform availability percentage
- Downtime duration and frequency
- SLA compliance monitoring
- API response times
- Performance degradation detection
- Geographic performance variations
Connection Health
Connection Health
Status Monitoring:
- Active/inactive connection ratios
- Authentication failure rates
- Connection stability metrics
- Data sync success rates
- API quota utilization
- Rate limiting incidents
Analytics Visualization
Chart Types
Time Series Charts
Track metrics over time with interactive line graphs showing trends and patterns
Status Indicators
Real-time status displays with color-coded health indicators and percentage metrics
Distribution Charts
Analyze data distribution with bar charts and histograms for performance analysis
Heat Maps
Visualize activity patterns across time periods and workflow categories
Interactive Features
Drill-Down Analysis
Drill-Down Analysis
Multi-Level Exploration:
- Click on chart elements for detailed views
- Filter by specific workflows or connections
- Zoom into specific time ranges
- Hover tooltips with detailed metrics
- Click-through to related data
- Cross-chart data correlation
Data Filtering
Data Filtering
Filter Options:
- Platform type (n8n, Make.com)
- Connection status (active, error, inactive)
- Execution status (success, failure, running)
- Time range selection
- Multiple filter combinations
- Saved filter presets
- Quick filter shortcuts
Data Collection and Processing
How Data is Collected
1
API Monitoring
Opsmatic regularly polls your connected platforms for workflow and execution data
2
Real-time Sync
Data is synchronized every 5-15 minutes depending on your plan and platform activity
3
Processing Pipeline
Raw data is processed, aggregated, and stored for fast dashboard performance
4
Analytics Generation
Metrics are calculated and trends are identified for dashboard display
Data Retention Policy
Raw Data
Execution Logs: 30 days detailed
Availability Metrics: 7 days raw data
Aggregated Data
Daily Summaries: 1 year retention
Weekly/Monthly: 2 years retention
Historical Trends
Long-term Patterns: Indefinite retention
Performance Baselines: Permanent storage
Setting Up Analytics Monitoring
Automatic Setup
Analytics monitoring begins automatically when you:- Connect a Platform: Add your first n8n or Make.com connection
- Verify Connection: Test and confirm the connection works
- Wait for Data: Allow 15-30 minutes for initial data collection
- Access Analytics: Navigate to the Analytics dashboard
Enhanced Monitoring (Advanced)
For more detailed analytics, you can enable:Webhook Integration
Webhook Integration
Real-time Updates:
- Instant execution notifications
- Immediate error alerts
- Live performance tracking
- Advanced n8n configuration
- Make.com webhook setup
- Network accessibility
Custom Metrics
Custom Metrics
Business-Specific Tracking:
- Custom KPI definitions
- Industry-specific metrics
- Goal and threshold setting
- Metric definition wizard
- Alerting rule setup
- Dashboard customization
Analytics Use Cases
Performance Optimization
Identify Bottlenecks
Identify Bottlenecks
What to Look For:
- Workflows with consistently long execution times
- High failure rates on specific workflows
- Platform response time degradation
- Optimize slow-running workflows
- Redesign error-prone automations
- Distribute load across peak times
Capacity Planning
Capacity Planning
Growth Analysis:
- Execution volume trends
- Resource utilization patterns
- Peak usage prediction
- Infrastructure scaling needs
- Platform plan upgrades
- Team capacity requirements
Business Intelligence
ROI Analysis
ROI Analysis
Metrics to Track:
- Automation execution volume
- Time saved through automation
- Error reduction percentages
- Manual process elimination
- Quantify automation benefits
- Justify infrastructure investments
- Demonstrate team productivity
Operational Insights
Operational Insights
Process Analysis:
- Most active automation workflows
- Business process efficiency
- Seasonal usage patterns
- Department-wise automation adoption
- Identify automation opportunities
- Resource allocation decisions
- Technology investment priorities
Advanced Analytics Features
Custom Dashboards (Coming Soon)
Custom dashboard creation is planned for future releases, allowing you to create personalized views of your analytics data.
- Drag-and-drop dashboard builder
- Custom widget creation
- Team-specific dashboard sharing
- Automated report generation
Alert and Notification System (Coming Soon)
Planned Alert Types:- Performance threshold breaches
- Connection failure notifications
- Unusual activity pattern detection
- Scheduled performance reports
Troubleshooting Analytics
Common Issues
Missing Data
Missing Data
Possible Causes:
- New connection (data collection starting)
- Connection authentication issues
- Platform API limitations
- Network connectivity problems
- Wait 15-30 minutes for new connections
- Test and fix connection issues
- Check platform API status
- Verify network accessibility
Incorrect Metrics
Incorrect Metrics
Possible Causes:
- Timezone mismatches
- Data sync delays
- Platform clock differences
- Caching issues
- Verify timezone settings
- Allow time for data synchronization
- Refresh dashboard manually
- Clear browser cache